Conference proceeding
Sensitivity and specificity of 3-D texture analysis of lung parenchyma is better than 2-D for discrimination of lung pathology in stage 0 COPD
Proceedings of SPIE, Vol.5746(1), pp.474-485
Medical Imaging 2005: Physiology, Function, and Structure from Medical Images
04/14/2005
DOI: 10.1117/12.595879
Abstract
Lung parenchyma evaluation via multidetector-row CT (MDCT), has
significantly altered clinical practice in the early detection of
lung disease. Our goal is to enhance our texture-based tissue
classification ability to differentiate early pathologic processes
by extending our 2-D Adaptive Multiple Feature Method (AMFM) to
3-D AMFM. We performed MDCT on 34 human volunteers in five
categories: emphysema in severe Chronic Obstructive Pulmonary
Disease (COPD) as EC, emphysema in mild COPD (MC), normal
appearing lung in COPD (NC), non-smokers with normal lung function
(NN), smokers with normal function (NS). We volumetrically
excluded the airway and vessel regions, calculated 24 volumetric
texture features for each Volume of Interest (VOI); and used
Bayesian rules for discrimination. Leave-one-out and half-half
methods were used for testing. Sensitivity, specificity and
accuracy were calculated. The accuracy of the leave-one-out method
for the four-class classification in the form of 3-D/2-D is: EC:
84.9%/70.7%, MC: 89.8%/82.7%; NC: 87.5.0%/49.6%; NN:
100.0%/60.0%. The accuracy of the leave-one-out method for the
two-class classification in the form of 3-D/2-D is: NN:
99.3%/71.6%; NS: 99.7%/74.5%. We conclude that 3-D AMFM
analysis of the lung parenchyma improves discrimination compared
to 2-D analysis of the same images.
Details
- Title: Subtitle
- Sensitivity and specificity of 3-D texture analysis of lung parenchyma is better than 2-D for discrimination of lung pathology in stage 0 COPD
- Creators
- Ye Xu - University of IowaMilan Sonka - University of IowaGeoffrey McLennan - University of IowaJunfeng Guo - University of IowaEric Hoffman - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.5746(1), pp.474-485
- Conference
- Medical Imaging 2005: Physiology, Function, and Structure from Medical Images
- DOI
- 10.1117/12.595879
- ISSN
- 0277-786X
- Language
- English
- Date published
- 04/14/2005
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Radiation Oncology; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Internal Medicine; Ophthalmology and Visual Sciences
- Record Identifier
- 9984186603102771
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